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Autor/inn/enChen, Dandan; Hebert, Michael; Wilson, Joshua
TitelExamining Human and Automated Ratings of Elementary Students' Writing Quality: A Multivariate Generalizability Theory Application
QuelleIn: American Educational Research Journal, 59 (2022) 6, S.1122-1156 (35 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Wilson, Joshua)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0002-8312
DOI10.3102/00028312221106773
SchlagwörterReliability; Scoring; Essays; Automation; Writing Evaluation; Elementary School Students; Grade 3; Grade 4; Grade 5; Evaluation Methods; Natural Language Processing; Computer Assisted Testing; Writing Difficulties
AbstractWe used multivariate generalizability theory to examine the reliability of hand-scoring and automated essay scoring (AES) and to identify how these scoring methods could be used in conjunction to optimize writing assessment. Students (n = 113) included subsamples of struggling writers and non-struggling writers in Grades 3-5 drawn from a larger study. Students wrote six essays across three genres. All essays were hand-scored by four raters and an AES system called Project Essay Grade (PEG). Both scoring methods were highly reliable, but PEG was more reliable for non-struggling students, while hand-scoring was more reliable for struggling students. We provide recommendations regarding ways of optimizing writing assessment and blending hand-scoring with AES. (As Provided).
AnmerkungenSAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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